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Selfie: Self-supervised Pretraining for Image Embedding
v1v2v3 (latest)

Selfie: Self-supervised Pretraining for Image Embedding

7 June 2019
Trieu H. Trinh
Minh-Thang Luong
Quoc V. Le
    SSL
ArXiv (abs)PDFHTML

Papers citing "Selfie: Self-supervised Pretraining for Image Embedding"

50 / 70 papers shown
Title
Vision Transformers with Self-Distilled Registers
Vision Transformers with Self-Distilled Registers
Yinjie Chen
Zipeng Yan
Chong Zhou
Bo Dai
Andrew F. Luo
442
4
0
27 May 2025
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor ControlNeural Information Processing Systems (NeurIPS), 2024
Zichen Jeff Cui
Hengkai Pan
Aadhithya Iyer
Siddhant Haldar
Lerrel Pinto
VGen
395
31
0
18 Sep 2024
ProFeAT: Projected Feature Adversarial Training for Self-Supervised
  Learning of Robust Representations
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations
Sravanti Addepalli
Priyam Dey
R. Venkatesh Babu
247
2
0
09 Jun 2024
FocusCLIP: Multimodal Subject-Level Guidance for Zero-Shot Transfer in
  Human-Centric Tasks
FocusCLIP: Multimodal Subject-Level Guidance for Zero-Shot Transfer in Human-Centric Tasks
Muhammad Gul Zain Ali Khan
Muhammad Ferjad Naeem
F. Tombari
Luc Van Gool
Didier Stricker
Muhammad Zeshan Afzal
VLMCLIP
185
5
0
11 Mar 2024
Text-to-Code Generation with Modality-relative Pre-training
Text-to-Code Generation with Modality-relative Pre-training
Fenia Christopoulou
Guchun Zhang
Gerasimos Lampouras
AI4TS
224
1
0
08 Feb 2024
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for
  Multimodal Alignment
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal AlignmentInternational Conference on Machine Learning (ICML), 2024
Ziping Ma
Furong Xu
Jian Liu
Ming Yang
Qingpei Guo
VLM
211
7
0
04 Jan 2024
Towards a Foundation Purchasing Model: Pretrained Generative
  Autoregression on Transaction Sequences
Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction SequencesInternational Conference on AI in Finance (ICAF), 2023
Piotr Skalski
David Sutton
Stuart Burrell
Iker Perez
Jason Wong
AI4TS
192
8
0
03 Jan 2024
Benchmarking of Query Strategies: Towards Future Deep Active Learning
Benchmarking of Query Strategies: Towards Future Deep Active Learning
Shiryu Ueno
Yusei Yamada
Shunsuke Nakatsuka
Kunihito Kato
FedML
194
2
0
10 Dec 2023
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel
  Size might be All You Need
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need
Tianjin Huang
Tianlong Chen
Zinan Lin
Shiwei Liu
294
1
0
09 Dec 2023
Initializing Models with Larger Ones
Initializing Models with Larger OnesInternational Conference on Learning Representations (ICLR), 2023
Zhiqiu Xu
Yanjie Chen
Kirill Vishniakov
Yida Yin
Zhiqiang Shen
Trevor Darrell
Lingjie Liu
Zhuang Liu
229
28
0
30 Nov 2023
CATE Estimation With Potential Outcome Imputation From Local Regression
CATE Estimation With Potential Outcome Imputation From Local RegressionConference on Uncertainty in Artificial Intelligence (UAI), 2023
Ahmed Aloui
Juncheng Dong
Cat P. Le
Vahid Tarokh
CML
176
2
0
07 Nov 2023
Contrastive Multi-Level Graph Neural Networks for Session-based
  Recommendation
Contrastive Multi-Level Graph Neural Networks for Session-based RecommendationIEEE transactions on multimedia (IEEE TMM), 2023
F. Wang
Xingyu Gao
Zhenyu Chen
Lei Lyu
130
17
0
06 Nov 2023
Evaluating The Robustness of Self-Supervised Representations to
  Background/Foreground Removal
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal
Xavier F. Cadet
Ranya Aloufi
A. Miranville
S. Ahmadi-Abhari
Hamed Haddadi
199
0
0
02 Jun 2023
Know Your Self-supervised Learning: A Survey on Image-based Generative
  and Discriminative Training
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Utku Ozbulak
Hyun Jung Lee
Beril Boga
Esla Timothy Anzaku
Ho-min Park
Arnout Van Messem
W. D. Neve
J. Vankerschaver
DiffM
232
49
0
23 May 2023
Learning imaging mechanism directly from optical microscopy observations
Learning imaging mechanism directly from optical microscopy observationsPhotonics Research (Photon. Res.), 2023
Ze-Hao Wang
Long-Kun Shan
Tong-Tian Weng
Tianrun Chen
Qiyuan Wang
Xiang-Dong Chen
Zhang Wang
Guanghsheng Guo
Hefei 230088
DiffM
149
2
0
25 Apr 2023
Hyperbolic Contrastive Learning
Hyperbolic Contrastive Learning
Yun Yue
Fangzhou Lin
Kazunori D Yamada
Ziming Zhang
SSL
326
22
0
02 Feb 2023
CrysGNN : Distilling pre-trained knowledge to enhance property
  prediction for crystalline materials
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materialsAAAI Conference on Artificial Intelligence (AAAI), 2023
Kishalay Das
Bidisha Samanta
Pawan Goyal
Seung-Cheol Lee
S. Bhattacharjee
Niloy Ganguly
140
23
0
14 Jan 2023
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image
  Transformers Help 3D Representation Learning?
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?International Conference on Learning Representations (ICLR), 2022
Runpei Dong
Zekun Qi
Linfeng Zhang
Junbo Zhang
Jian‐Yuan Sun
Zheng Ge
Li Yi
Kaisheng Ma
ViT3DPC
274
137
0
16 Dec 2022
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain
  Specific Foundation Model
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation ModelInternational Conference on Information Photonics (ICIP), 2022
Syed Muhammad Anwar
Abhijeet Parida
Sara Atito
Muhammad Awais
G. Nino
Josef Kitler
M. Linguraru
ViTSSLOOD
171
8
0
23 Nov 2022
Correlation between Alignment-Uniformity and Performance of Dense
  Contrastive Representations
Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations
Jong Hak Moon
Wonjae Kim
Edward Choi
186
3
0
17 Oct 2022
Using Graph Algorithms to Pretrain Graph Completion Transformers
Using Graph Algorithms to Pretrain Graph Completion Transformers
Jonathan Pilault
Mikhail Galkin
Bahare Fatemi
Perouz Taslakian
David Vasquez
C. Pal
192
0
0
14 Oct 2022
Pre-trained Adversarial Perturbations
Pre-trained Adversarial PerturbationsNeural Information Processing Systems (NeurIPS), 2022
Y. Ban
Yinpeng Dong
AAML
234
30
0
07 Oct 2022
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of
  Related Mathematical Expressions in Scientific Articles
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles
Lukas Pfahler
K. Morik
SSL
90
4
0
22 Aug 2022
PanGu-Coder: Program Synthesis with Function-Level Language Modeling
PanGu-Coder: Program Synthesis with Function-Level Language Modeling
Fenia Christopoulou
Gerasimos Lampouras
Milan Gritta
Guchun Zhang
Yinpeng Guo
...
Guangtai Liang
Jia Wei
Xin Jiang
Qianxiang Wang
Qun Liu
ELMSyDaALM
197
84
0
22 Jul 2022
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis
MeshMAE: Masked Autoencoders for 3D Mesh Data AnalysisEuropean Conference on Computer Vision (ECCV), 2022
Yaqian Liang
Shanshan Zhao
Baosheng Yu
Jing Zhang
Fazhi He
ViT
162
54
0
20 Jul 2022
Adversarial Fine-tune with Dynamically Regulated Adversary
Adversarial Fine-tune with Dynamically Regulated AdversaryIEEE International Joint Conference on Neural Network (IJCNN), 2022
Peng-Fei Hou
Ming Zhou
Jie Han
Petr Musílek
Xingyu Li
AAML
99
3
0
28 Apr 2022
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Self-Supervised Graph Neural Network for Multi-Source Domain AdaptationACM Multimedia (ACM MM), 2022
Jin Yuan
Feng Hou
Yangzhou Du
Peng Wang
Xin Geng
Jianping Fan
Yong Rui
SSLOOD
154
25
0
08 Apr 2022
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing
Lu Yin
Vlado Menkovski
Yulong Pei
Mykola Pechenizkiy
177
1
0
16 Dec 2021
On visual self-supervision and its effect on model robustness
On visual self-supervision and its effect on model robustness
Michal Kucer
Diane Oyen
Garrett Kenyon
AAMLOOD
124
0
0
08 Dec 2021
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point
  Modeling
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu
Lulu Tang
Yongming Rao
Tiejun Huang
Jie Zhou
Jiwen Lu
3DPC
460
907
0
29 Nov 2021
SimMIM: A Simple Framework for Masked Image Modeling
SimMIM: A Simple Framework for Masked Image Modeling
Zhenda Xie
Zheng Zhang
Yue Cao
Yutong Lin
Jianmin Bao
Zhuliang Yao
Jingdong Sun
Han Hu
401
1,627
0
18 Nov 2021
When Does Contrastive Learning Preserve Adversarial Robustness from
  Pretraining to Finetuning?
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?Neural Information Processing Systems (NeurIPS), 2021
Lijie Fan
Sijia Liu
Pin-Yu Chen
Gaoyuan Zhang
Chuang Gan
AAMLVLM
205
135
0
01 Nov 2021
SSAST: Self-Supervised Audio Spectrogram Transformer
SSAST: Self-Supervised Audio Spectrogram Transformer
Yuan Gong
Cheng-I Jeff Lai
Yu-An Chung
James R. Glass
ViT
311
353
0
19 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring
Rethinking Supervised Pre-training for Better Downstream TransferringInternational Conference on Learning Representations (ICLR), 2021
Yutong Feng
Jianwen Jiang
Mingqian Tang
Rong Jin
Yue Gao
SSL
290
48
0
12 Oct 2021
Geographical Knowledge-driven Representation Learning for Remote Sensing
  Images
Geographical Knowledge-driven Representation Learning for Remote Sensing Images
Wenyuan Li
Keyan Chen
Hao Chen
Zhenwei Shi
SSL
198
80
0
12 Jul 2021
Investigate the Essence of Long-Tailed Recognition from a Unified Perspective
Lei Liu
Li Liu
123
0
0
08 Jul 2021
Efficient Self-supervised Vision Transformers for Representation
  Learning
Efficient Self-supervised Vision Transformers for Representation LearningInternational Conference on Learning Representations (ICLR), 2021
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
ViT
263
221
0
17 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
808
3,369
0
15 Jun 2021
InfoBehavior: Self-supervised Representation Learning for Ultra-long
  Behavior Sequence via Hierarchical Grouping
InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping
Runshi Liu
Pengda Qin
Yuhong Li
Weigao Wen
Dong Li
Kefeng Deng
Qiang Wu
AI4TS
133
1
0
13 Jun 2021
Vision Transformers are Robust Learners
Vision Transformers are Robust LearnersAAAI Conference on Artificial Intelligence (AAAI), 2021
Sayak Paul
Pin-Yu Chen
ViT
345
348
0
17 May 2021
Kaleido-BERT: Vision-Language Pre-training on Fashion Domain
Kaleido-BERT: Vision-Language Pre-training on Fashion DomainComputer Vision and Pattern Recognition (CVPR), 2021
Mingchen Zhuge
D. Gao
Deng-Ping Fan
Linbo Jin
Ben Chen
Hao Zhou
Minghui Qiu
Ling Shao
VLM
314
133
0
30 Mar 2021
Set Representation Learning with Generalized Sliced-Wasserstein
  Embeddings
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings
Navid Naderializadeh
Soheil Kolouri
Joseph F. Comer
Reed W. Andrews
Heiko Hoffmann
175
6
0
05 Mar 2021
Contrastive Pre-training for Imbalanced Corporate Credit Ratings
Contrastive Pre-training for Imbalanced Corporate Credit RatingsInternational Conference on Machine Learning and Computing (ICMLC), 2021
Bojing Feng
Wenfang Xue
SSL
158
9
0
18 Feb 2021
Self-supervised Pre-training with Hard Examples Improves Visual
  Representations
Self-supervised Pre-training with Hard Examples Improves Visual Representations
Chunyuan Li
Xiujun Li
Lei Zhang
Baolin Peng
Mingyuan Zhou
Jianfeng Gao
SSL
196
24
0
25 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2020
Spyros Gidaris
Andrei Bursuc
Gilles Puy
N. Komodakis
Matthieu Cord
P. Pérez
SSL
268
81
0
21 Dec 2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised
  Visual Representation Learning
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2020
Zhenda Xie
Yutong Lin
Zheng Zhang
Yue Cao
Stephen Lin
Han Hu
SSL
403
446
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Towards Domain-Agnostic Contrastive Learning
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
243
128
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09 Nov 2020
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
479
1,600
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Robust Pre-Training by Adversarial Contrastive Learning
Robust Pre-Training by Adversarial Contrastive LearningNeural Information Processing Systems (NeurIPS), 2020
Ziyu Jiang
Tianlong Chen
Ting-Li Chen
Zinan Lin
244
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Self-Supervised Contrastive Learning for Efficient User Satisfaction
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Mohammad Kachuee
Hao Yuan
Young-Bum Kim
Sungjin Lee
215
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